Remote Sensing and Python Expert

Company Description

Company Name
 - Semantic Technologies and Agritech Services Private Limited

Company Website
 - 

About Company -

We use Real Time Big Data Analysis, Digital Technology, GIS Mapping combined with Satellite/Drone Imagery, Remote Sensing and Weather Data to create innovative products. We provide advanced technology solutions to monitor crop health, estimate crop yield, perform end-to-end digital Crop Cutting Experiments (CCEs), Smart Sampling and also use Satellite/Drone data for Crop Loss Assessment. We are a group of young and talented agriculturists, remote sensing, GIS, Agri-insurance and IT professionals with ground-breaking ideas that we hope will contribute towards a better tomorrow.

Job Title –
 Remote Sensing & GIS Python Developer

Location –
 Senapati Bapat Road, Pune

(Work From Office)

About the Role:

We are looking for a skilled 
Remote Sensing & GIS Python Developer
 to design, develop, and implement algorithms for agricultural applications using 
remote sensing and GIS data
. The candidate will apply 
machine learning and deep learning techniques
 to extract actionable insights for agriculture, including crop monitoring and crop Classification, yield estimation, irrigation management, and land cover classification.

Key Responsibilities:

• Develop and implement 
  Remote Sensing (RS) and GIS-based algorithms
   for agricultural data analysis.
• Preprocess, analyze, and visualize satellite and UAV imagery (Sentinel, Landsat, LISS IV, etc.) for agricultural applications.
• Build 
  Machine Learning and Deep Learning models
   (e.g., Random Forest, XGBoost, CNN, UNet) for crop classification, disease detection, and yield prediction.
• Integrate GIS spatial analysis into predictive modeling and decision-making pipelines.
• Automate workflows for 
  RS & GIS data processing
   using Python libraries like 
  GDAL, Rasterio, Geopandas, Shapely, Earth Engine API
  .
• Work with 
  multi-temporal and multi-spectral datasets
   for generating agricultural insights.
• Collaborate with agronomists and data scientists to validate models and improve accuracy.
• Optimize algorithms for scalability and high-performance computing.
• Prepare technical documentation, reports, and visualisations for stakeholders.

Required Skills & Qualifications:

• Strong proficiency in Python
   for data analysis, algorithm development, and automation.
• Hands-on experience in 
  Remote Sensing and GIS
   using tools like 
  QGIS, ArcGIS, and Google Earth Engine (GEE)
  .
• Experience with 
  ML/DL frameworks
  : TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost.
• Knowledge of 
  image processing, spectral indices (NDVI, EVI, SAVI), SAR, and multispectral/hyperspectral data analysis
  .
• Ability to handle 
  vector and raster datasets
  , perform spatial joins, projections, buffering, and zonal statistics.
• Understanding of 
  agricultural science, crop phenology, and field-level monitoring
  .
• Strong problem-solving skills, algorithmic thinking, and attention to detail.
• Familiarity with cloud computing and APIs for satellite data (Google Earth Engine, AWS, Sentinel Hub).
• Good communication skills to collaborate with multi-disciplinary teams.

Preferred Qualifications

• M.Tech or M.Sc. in Geoinformatics, Remote Sensing, GIS, Geography Msc, Agricultural Engineering, or related disciplines.
• Experience with field data collection and validation.
• Background in precision agriculture applications.
• Prior experience handling large-scale agricultural RS/GIS projects.
• Knowledge of time-series analysis for crop monitoring and seasonal variability.